Machine Learning for Big Data
Summary: Survey of using DB systems to scale ML, highlighting architectures, relational-algebra workflows, recursion, and streaming support. Outlines systems, applications, gaps, and questions at the DB-ML interface to guide cross-domain research. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tyson Condie
- 2. Paul Mineiro
- 3. Neoklis Polyzotis
- 4. Markus Weimer
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 832 | Learning Linear Regression Models over Factorized Joins | 2016 | SIGMOD | 0.00016089705 |
| 1,534 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011462072 |
| 4,807 | Resource Elasticity for Large-Scale Machine Learning | 2015 | SIGMOD | 5.9045148e-05 |
| 9,071 | ParaX: Boosting Deep Learning for Big Data Analytics on Many-Core CPUs | 2021 | VLDB | 4.3978166e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019040811 |
| 39 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00075263552 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 543 | MLbase: A Distributed Machine-learning System | 2013 | CIDR | 0.0002050918 |
| 13,940 | Clustering Methods for Large Databases: From the Past to the Future | 1999 | SIGMOD | - |
| 8,637 | Machine Learning for Data Management: Problems and Solutions | 2018 | SIGMOD | 4.4755972e-05 |
| 8,340 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 4.5381546e-05 |
| 4,406 | Declarative Recursive Computation on an RDBMS | 2019 | VLDB | 6.2044305e-05 |
| 3,884 | Machine Learning and Databases: The Sound of Things to Come or a Cacophony of Hype? | 2015 | SIGMOD | 6.6622645e-05 |
| 7,652 | Machine Learning for Cloud Data Systems: the Progress so far and the Path Forward | 2021 | VLDB | 4.6831938e-05 |
| 5,787 | Machine Learning for Databases | 2021 | VLDB | 5.3256401e-05 |
| 10,847 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB | 4.1905499e-05 |
| 1,534 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011462072 |